摘要
Abstract
Objective To investigate the diagnostic value of the 2018 version of Liver Imaging Reporting and Data System(LI-RADS v2018)based on magnetic resonance imaging(MRI)for benign and malignant liver lesions.Methods 150 patients with liver tumors(154 lesions in total)admitted to our hospital from January 2022 to December 2025 were selected.MRI features of all lesions were analyzed,and lesions were classified according to the LI-RADS v2018 criteria.With pathological examination results as the"gold standard",the main and secondary imaging features of LI-RADS v2018 for liver tumors of different natures were compared,and the sensitivity,specificity and accuracy of the system in diagnosing benign and malignant liver tumors as well as hepatocellular carcinoma(HCC)were calculated.Results Among the 154 lesions,119 malignant lesions(malignant group)were confirmed by pathological examination,including 76 HCC lesions and 43 non-HCC lesions;35 lesions were benign(benign group).LI-RADS v2018 identified 99 malignant lesions and 55 benign lesions.The detection rates of major LI-RADS v2018 features(non-ring arterial phase hyperenhancement,non-ring washout,pseudocapsule appearance)and secondary LI-RADS v2018 features(peripheral nodular enhancement,mosaic architecture,nodule-in-nodule architecture,intralesional fat,restricted diffusion,intratumoral hemorrhage)in the malignant group were significantly higher than those in the benign group(all P<0.05).Among the main features of LI-RADS v2018,non-rim washout had the highest diagnostic accuracy for HCC;among the secondary features,restricted diffusion had the highest diagnostic accuracy for HCC.Conclusions LI-RADS v2018 has relatively high accuracy in evaluating benign and malignant liver tumors.It can clearly distinguish the manifestations of main and secondary imaging features of tumors with different pathological natures,and provides an important reference for the qualitative diagnosis of liver tumors in clinical practice.关键词
肝脏肿瘤/2018版肝脏影像报告和数据系统/磁共振成像/诊断准确度Key words
Liver tumor/2018 version of Liver Imaging Reporting and Data System/Magnetic resonance imaging/Diagnostic accuracy分类
医药卫生
